Performance Metrics
Evaluating trading models requires more than looking at profit alone. This category covers essential performance metrics such as Sharpe Ratio, Calmar Ratio, and custom fitness measures used to assess risk, stability, and consistency.
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Sharpe punishes volatility. Sortino punishes downside. Calmar punishes the worst thing that ever happened.
The Calmar ratio divides annualised return by maximum drawdown. Here's what the number actually tells you, what's healthy, and where it stops being useful.
5/28/2026
A profit factor of 1.5 looks healthy. A profit factor of 1.5 from three lucky trades is anything but.
Profit factor measures gross profit divided by gross loss. Here's how to read it for a trading strategy, what's healthy, and where the number quietly lies.
5/25/2026
Mean and variance describe a return series the way a height and weight describe a person — they leave out everything that makes it dangerous.
Skewness and kurtosis in trading returns reveal what averages hide: asymmetric profits, tail risk, and fat-tailed losses. Here's why these metrics matter for any quant model.
5/20/2026
Win rate alone tells you nothing. Risk/reward alone tells you nothing. Expectancy combines both into a single answer.
Trading expectancy is the average profit per trade once win rate and risk/reward are combined. Here's the formula, how to read it, and where it fits in.
5/12/2026
When a model's return distribution shifts, something has changed. Wasserstein distance is one of the sharpest tools for detecting it.
Wasserstein distance measures the difference between two probability distributions. Learn how it detects distribution shift in trading models and what it tells darwintIQ.
5/6/2026
A model that makes most of its money in three trades is not a reliable model. Return stability is how you tell the difference.
Return stability measures how evenly a trading model generates its profits over time. Learn what it reveals about model quality and how darwintIQ uses it.
5/1/2026
A model that is always in the market is not necessarily a better one. Exposure shapes risk in ways that returns alone do not show.
Exposure in a trading strategy measures how much time a model holds open positions. Learn what it means for risk, drawdown, and model selectivity in darwintIQ.
4/24/2026
Profit alone doesn't tell you whether a model is working. Profit Factor starts to.
Profit factor seems simple — gross profit divided by gross loss — but the number alone misleads. Learn what counts as 'good', why a profit factor above 2 can be suspicious, and how to read it properly.
4/6/2026
Not all volatility is bad. The Sortino Ratio only penalises the kind that is
The Sortino ratio measures only the downside risk that actually hurts — not symmetric volatility. Here's how to calculate it, when to use it, and why it beats Sharpe for most live strategies.
3/29/2026
Measuring Stability in Trading Models
Sharpe Ratio measures how stable a trading model's returns are relative to its volatility. Learn why it matters when evaluating quantitative strategies and how darwintIQ uses it to identify robust models.
3/15/2026
Measuring Return Against Maximum Drawdown
Calmar Ratio measures the relationship between return and maximum drawdown in trading strategies. Learn how this metric helps evaluate risk-adjusted performance and how darwintIQ uses it to identify robust trading models.
3/12/2026
Why Structural Stability Matters More Than Peak Returns
What does Fitness mean in algorithmic trading? Learn how darwintIQ evaluates the structural quality and robustness of trading models beyond simple profit.
3/11/2026
Measuring Adaptation Quality in Evolving Markets
Learn what fitness means in genetic-algorithm-based trading systems like darwintIQ. Understand how model adaptation, stability, and robustness are evaluated in evolving markets.
2/27/2026